Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...

Recent research has explored using diffusion models for out-of-distribution (OOD) detection, leveraging their ability to distinguish OOD samples by measuring reconstruction errors. Existing methods ...

Abstract: Increasing reliability demand and massive uncertain distributed PV bring new challenges to distribution network development. In this paper, a regional distribution network planning framework ...

Dividend stocks are stocks that pay you for investing in them. The amount you receive is based on the stock’s dividend yield and value. For instance, a 4% yield with a $12 share price results in $0.48 ...

Solve steady-state coupled Poisson-Nernst-Planck equations in 3D and axisymmetric 2D nanopipette meshes using Fenics 2019.1.0. We parallelized the implementation of Julia-based rate models and plugged ...